Structure parameters from 4D radar data for quantitative determination of areal precipitation

4D 雷达数据的结构参数用于定量确定区域降水

• 批准号: 5448359
• 负责人: Professor Dr. Klaus Dieter Beheng (†)
• 金额: --
• 依托单位: Department Troposphärenforschung (IMK-TRO)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5448359?language=en
• 关键词: Structure; parameters; 4D; radar; data

A method will be developed to relate rain rates at ground to data from conventional weather radars and to other data sources. To this end, typical structures and parameters ¿ and combinations of them - identified mainly in the radar data and also in sets of non-radar data operationally available (as standard meteorological products) are quantified by appropriate measures. Quantification of structures and parameters will be done by taking into account mean values as well as variances where the latter reflect the large natural variability of precipitation situations. Based on these information correlations between the most important quantities (radar and non-radar) are established with the ultimate goal to specify rain rate at ground as depending on those quantities showing the highest correlation. Thus, it is expected that rain rate at ground is expressed by a combination of radar and non-radar data. The procedure outlined provides also a quality index indicating validity and limits of the relation to be derived for an actual precipitation event.

将开发一种方法，将地面降雨率与传统天气雷达和其他数据源的数据联系起来。为此，通过适当的措施对主要在雷达数据中以及在操作上可用的非雷达数据集（作为标准气象产品）中识别的典型结构和参数及其组合进行量化。结构和参数的量化将通过考虑平均值和方差来完成，后者反映了降水情况的大自然变异性。基于这些信息，最重要的量（雷达和非雷达）之间的相关性被建立，最终目标是指定地面降雨率取决于那些表现出最高相关性的量。因此，预计地面降雨率由雷达和非雷达数据的组合表示。概述的程序还提供了一个质量指标，表明有效性和限制的关系，以获得一个实际的降水事件。